Poster abstracts of the 25th German Conference on Bioinformatics

Center for Bioinformatics Tübingen, University of Tübingen, Tübingen, Germany
Quantitative Biology Center, Tübingen, Germany
Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany
Methods in Medical Informatics group, University of Tübingen, Tübingen, Germany
Max Planck Institute for Developmental Biology, Tübingen, Germany
DOI
10.7287/peerj.preprints.3268v1
Subject Areas
Bioinformatics
Keywords
bioinformatics
Copyright
© 2017 Nieselt et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Nieselt K, Pfeifer N, Lupas A, Kohlbacher O. 2017. Poster abstracts of the 25th German Conference on Bioinformatics. PeerJ Preprints 5:e3268v1

Abstract

The annual German Conference on Bioinformatics (GCB) has brought together renowned international scientists in bioinformatics, computational biology, biostatistics, biology and medicine since 1993. The 25th GCB was held in Tübingen from 18th to 21st of September 2017, making its second appearance at the vivid university city with its internationally renowned medical faculty as well as the faculty of science, and several top research institutes like the Max Planck Institute for Developmental Biology. This environment has created and attracted several internationally recognized research groups in bioinformatics, computational biology, and biomedical data science out of which many have contributed in organizing the GCB 2017.

Following are the abstracts of posters accepted for presentation at the conference, showing the wide range of different areas from bioinformatics infrastructure to theoretical approaches in single cell analyses.

Author Comment

This is a document that is linked to the GCB 2017 Conference (all poster abstracts together with short editorial).